Bang Long 龙榜

Bang Long 龙榜

Associate Researcher, CEIBA Research Center

Director, AI Research Institute, Shenzhen Farben Information Technology Co., Ltd.
Director, Guangdong Engineering Technology Research Center for AI Information Technology Service Innovation
Doctoral degree in Business Administration, IPAG Business School, 2024

Biography

Bang Long is an AI researcher, innovation practitioner and technology executive working at the intersection of artificial intelligence, enterprise innovation and knowledge engineering. He serves as Director of the AI Research Institute at Shenzhen Farben Information Technology Co., Ltd. and Director of the Guangdong Engineering Technology Research Center for AI Information Technology Service Innovation.

His professional work combines AI research with enterprise implementation. He has led the planning and deployment of a range of large-model and AI projects and has extensive experience translating emerging AI technologies into organizational and business applications. He has also been involved in industry and public-sector AI initiatives, served as an expert and project reviewer, and contributed to numerous professional forums and conferences on artificial intelligence and innovation.

Doctoral Research

Innovation Networks, Knowledge Management and Enterprise Innovation Performance: A Case Study of FB Company

Long’s doctoral research explores the relationship between external and internal innovation networks, knowledge-management processes and firm-level innovation outcomes. Using FB Company as an empirical setting, the study connects organizational knowledge processes with broader questions of innovation capability and enterprise performance.

 

Research Interests

  • Innovation Mechanisms and Innovation Management
  • AI and Enterprise Innovation
  • AI Algorithms and Applications
  • Knowledge Engineering
  • Knowledge Management
  • Digital Innovation and Organizational Transformation

Selected Scholarly Work

  • RouterKGQA: Specialized–General Model Routing for Constraint-Aware Knowledge Graph Question Answering
  • 人工智能训练师(高级工) [Artificial Intelligence Trainer – Advanced Level]. 电子工业出版社.
  • 物品推荐方法、装置及可读存储介质 [Item Recommendation Method, Device and Readable Storage Medium]. Patent.
  • 接口监测方法、装置、终端设备以及存储介质 [Interface Monitoring Method, Device, Terminal Equipment and Storage Medium]. Patent.